Instructions to use bytetriper/vit-mae-r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bytetriper/vit-mae-r with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("bytetriper/vit-mae-r") model = AutoModelForPreTraining.from_pretrained("bytetriper/vit-mae-r", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K